A-optimal encoding weights for nonlinear inverse problems, with
applications to the Helmholtz inverse problem

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A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem

7 December 2016

A. Alexanderian

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Papers citing "A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem"

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Title
Bayesian design of measurements for magnetorelaxometry imaging T. Helin Nuutti Hyvönen Jarno Maaninen Juha-Pekka Puska 48 18 0 31 May 2023
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning Thomas O'Leary-Roseberry Peng Chen Umberto Villa Omar Ghattas AI4CE 102 42 0 21 Jun 2022
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation Truong-Vinh Hoang S. Krumscheid H. Matthies Raúl Tempone 55 7 0 15 Jun 2021
Projected Wasserstein gradient descent for high-dimensional Bayesian inference Yifei Wang Peng Chen Wuchen Li 67 26 0 12 Feb 2021
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs Thomas O'Leary-Roseberry Umberto Villa Peng Chen Omar Ghattas 112 70 0 30 Nov 2020
Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters Peng Chen Omar Ghattas 67 18 0 19 Nov 2020